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This skill set brings multiple benefits to you. You get well-paid jobs and promotions because firms prefer SAP Certified Associate - SAP Generative AI Developer C_AIG_2412 certification holders. Although all professionals desire to earn certifications, many never find enough time to go beyond their graduation degree. Any area of accreditation is in high demand, and if you have a SAP Certified Associate - SAP Generative AI Developer C_AIG_2412 Certification, you will grow in the information technology industry with ease.

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SAP C_AIG_2412 Exam Syllabus Topics:

Topic	Details
Topic 1	SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.
Topic 2	SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.
Topic 3	Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.
Topic 4	SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q52-Q57):

NEW QUESTION # 52
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.

A. Relevance
B. Faithfulness
C. Carbon footprint
D. Speed

Answer: A,B

NEW QUESTION # 53
Which of the following statements accurately describe the RAG process? Note: There are 2 correct ans-wers to this question.

A. The LLM directly ans wers the user's question without accessing external information.
B. The embedding model stores the generated ans wers for future reference.
C. The retrieved content is combined with the LLM's capabilities to generate a response.
D. The user's questi on is used to search a knowledge base or a set of documents.

Answer: C,D

NEW QUESTION # 54
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.

A. Use pricing models that have fixed rates irrespective of the usage patterns
B. Adopt best practice pricing strategies, such as outcome-based pricing
C. Weigh the cost of using advanced models against the expected return on investment
D. Avoid subscription-based pricing models

Answer: B,C

NEW QUESTION # 55
What contract type does SAP offer for Al ecosystem partner solutions?

A. Pay-as-you-go for each partner service
B. Annual subscription-only contracts
C. All-in-one contracts, with services that are contracted through SAP
D. Bring Your Own License (BYOL) for embedded partner solutions

Answer: A,B,C

NEW QUESTION # 56
What does SAP recommend you do before you start training a machine learning model in SAP AI Core?
Note: There are 3 correct answers to this question.

A. Configure the training pipeline using templates.
B. Perform manual data integration with SAP HANA.
C. Define the required infrastructure resources for training.
D. Configure the model deployment in SAP Al Launchpad.
E. Register the input dataset in SAP AI Core.

Answer: A,C,E

Explanation:
Before initiating the training of a machine learning model in SAP AI Core, SAP recommends the following steps:
* Configure the training pipeline using templates:Utilize predefined templates to set up the training pipeline, ensuring consistency and efficiency in the training process.
* Define the required infrastructure resources for training:Specify the computational resources, such as CPUs or GPUs, necessary for the training job to ensure optimal performance.
* Register the input dataset in SAP AI Core:Ensure that the dataset intended for training is properly registered within SAP AI Core, facilitating seamless access during the training process.
These preparatory steps are crucial for the successful training of machine learning models within the SAP AI Core environment.

NEW QUESTION # 57
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